Adaptive Control of Constrained Nonlinear CPSs under Deception Attacks through Sensor and Actuator Networks

This paper deals with the command filter-based adaptive control problem of constrained nonlinear cyber-physical systems (CPSs) under the deception attacks through sensor and actuator networks. Firstly, an improved coordinate transformation technique considering the available compromised states and the outputs of command filters is proposed, which can be combined with barrier Lyapunov functions (BLFs) to design the corresponding controllers and achieve full-state constraints. Then, to handle the unknown time-varying control gains of the actuator caused by the deception attacks, the rational adaptive laws are cleverly designed for the upper bounds involving the time-varying control gains. Furthermore, by introducing the command filtering technology and the event-triggered strategy, the control scheme for the nonlinear CPSs is proposed to guarantee the boundedness of the whole closed-loop signals and reduce communication resources. Finally, the simulation results demonstrate the availability of the developed control method.